Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Deadline: August 5, 2022, 5 PM local time We are pleased to announce we will be holding Virtual Office Hours on September 12-16, 2022, to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. We will have two tracks: 1) Biomechanical modeling with OpenSim<https://opensim.stanford.edu/> and IMUs<https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematics+with+IMU+Data> or video, and 2) Machine learning, including video analysis. All phases of a research project are supported, such as formulating a research question, choosing and planning appropriate methods, and addressing issues with carrying out the study. We welcome and encourage individuals to apply as a team, if relevant. Learn more and apply<https://restore.stanford.edu/2022/06/28/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-6/> Resolved: Website Connectivity Issues Due to Power Outage at Stanford During the week of June 20, Stanford University experienced a campus-wide power outage that affected the servers that host our software and documentation. Power has been restored, and we anticipate that the websites should now be accessible, as usual. We apologize for any inconvenience; please let us know if any issues remain. Seeking Collaborations to Drive Development of OpenSense, OpenSim Moco, and Other Tools OpenSim<https://opensim.stanford.edu/>, OpenSense<https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematics+with+IMU+Data> (for analyzing movement with inertial measurement units or IMUs), OpenSim Moco<https://opensim-org.github.io/opensim-moco-site/> (for solving optimization problems), and several of our other computational models and tools<https://mobilize.stanford.edu/software/> are supported in part by the Mobilize Center<https://mobilize.stanford.edu/>. Collaborative projects (CPs)<https://mobilize.stanford.edu/collaborative-projects/> drive the development of the Mobilize Center’s efforts. CP investigators help us define the specifications for tools, and they serve as beta testers to refine and harden the tools we develop and share. If you have a project that could benefit from the Mobilize Center’s technology and are interested in being a CP, fill out this form<https://docs.google.com/forms/d/1emhfvC1zRPHZZPFEo4KuBvgnL_DX62OTLsC0xMoENyQ/edit>. Learn more<https://mobilize.stanford.edu/collaborative-projects/> SCONE 2.0 is Released SCONE 2.0 has been released by Thomas Geijtenbeek from TU Delft. SCONE is open-source software for performing predictive simulations of human and animal motion. It provides an intuitive GUI to easily set up optimization scenarios and analyze results through 3D visualization and data plots. SCONE 2.0 adds support for OpenSim 4.3 models, as well as support for a new high-speed simulator that dramatically reduces optimization time. Read more about SCONE 2.0<https://simtk.org/plugins/simtk_news/news_details.php?flag=3&group_id=1180&id=443> | Download SCONE<https://urldefense.proofpoint.com/v2/url?u=https-3A__simtk.org_projects_scone&d=DwMFAg&c=XYzUhXBD2cD-CornpT4QE19xOJBbRy-TBPLK0X9U2o8&r=aCLXEJeKYCYPMD-xf1xisgXf7LPFBKnHbHw4zCRed1Q&m=8ezsDz5arqJDHskll8ZXRwAfnJNYD4GXAK_TD5iTQTs&s=L47xSYhbwxMfXWKwhkOlXYACbRkrW611c0S5zF__MYM&e=> Need Data for your Research? The Mobilize Center<http://mobilize.stanford.edu/> maintains a list<https://mobilize.stanford.edu/data/available-datasets/> of movement-related datasets that you can utilize for your research. These datasets include inertial measurement unit (IMU) data, X-rays, MRIs, biospecimens, and more from both clinical and healthy populations. We encourage you to share your datasets as well and please let us know if any resources should be added to this list. Help Shape New Reproducible Rehabilitation (ReproRehab) Program Deadline: June 30, 2022 ReproRehab<https://www.reprorehab.usc.edu/> is an NCMRR-funded R25 research educational program designed to build a sustainable national workforce of rehabilitation researchers equipped with basic data science skills to improve reproducibility in research. They invite you to participate in their needs assessment<https://docs.google.com/forms/d/e/1FAIpQLSc-jpHvAwoekg_BHTA77PJ9Y--RK8IIXbXwQiLmAE4NttALkg/viewform> survey by June 30, 2022 to help shape the future of ReproRehab. Responses will help tailor their initial course and web offerings, and should take less than 20 minutes. Three participants will be randomly selected to receive a $50 Amazon gift card. <https://profiles.stanford.edu/matthew-petrucci>